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Understanding cognitive control in aging: A brain network perspective
Cognitive control decline is a major manifestation of brain aging that severely impairs the goal-directed abilities of older adults. Magnetic resonance imaging evidence suggests that cognitive control during aging is associated with altered activation in a range of brain regions, including the front...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659905/ https://www.ncbi.nlm.nih.gov/pubmed/36389081 http://dx.doi.org/10.3389/fnagi.2022.1038756 |
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author | Xia, Haishuo He, Qinghua Chen, Antao |
author_facet | Xia, Haishuo He, Qinghua Chen, Antao |
author_sort | Xia, Haishuo |
collection | PubMed |
description | Cognitive control decline is a major manifestation of brain aging that severely impairs the goal-directed abilities of older adults. Magnetic resonance imaging evidence suggests that cognitive control during aging is associated with altered activation in a range of brain regions, including the frontal, parietal, and occipital lobes. However, focusing on specific regions, while ignoring the structural and functional connectivity between regions, may impede an integrated understanding of cognitive control decline in older adults. Here, we discuss the role of aging-related changes in functional segregation, integration, and antagonism among large-scale networks. We highlight that disrupted spontaneous network organization, impaired information co-processing, and enhanced endogenous interference promote cognitive control declines during aging. Additionally, in older adults, severe damage to structural network can weaken functional connectivity and subsequently trigger cognitive control decline, whereas a relatively intact structural network ensures the compensation of functional connectivity to mitigate cognitive control impairment. Thus, we propose that age-related changes in functional networks may be influenced by structural networks in cognitive control in aging (CCA). This review provided an integrative framework to understand the cognitive control decline in aging by viewing the brain as a multimodal networked system. |
format | Online Article Text |
id | pubmed-9659905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96599052022-11-15 Understanding cognitive control in aging: A brain network perspective Xia, Haishuo He, Qinghua Chen, Antao Front Aging Neurosci Aging Neuroscience Cognitive control decline is a major manifestation of brain aging that severely impairs the goal-directed abilities of older adults. Magnetic resonance imaging evidence suggests that cognitive control during aging is associated with altered activation in a range of brain regions, including the frontal, parietal, and occipital lobes. However, focusing on specific regions, while ignoring the structural and functional connectivity between regions, may impede an integrated understanding of cognitive control decline in older adults. Here, we discuss the role of aging-related changes in functional segregation, integration, and antagonism among large-scale networks. We highlight that disrupted spontaneous network organization, impaired information co-processing, and enhanced endogenous interference promote cognitive control declines during aging. Additionally, in older adults, severe damage to structural network can weaken functional connectivity and subsequently trigger cognitive control decline, whereas a relatively intact structural network ensures the compensation of functional connectivity to mitigate cognitive control impairment. Thus, we propose that age-related changes in functional networks may be influenced by structural networks in cognitive control in aging (CCA). This review provided an integrative framework to understand the cognitive control decline in aging by viewing the brain as a multimodal networked system. Frontiers Media S.A. 2022-10-31 /pmc/articles/PMC9659905/ /pubmed/36389081 http://dx.doi.org/10.3389/fnagi.2022.1038756 Text en Copyright © 2022 Xia, He and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Aging Neuroscience Xia, Haishuo He, Qinghua Chen, Antao Understanding cognitive control in aging: A brain network perspective |
title | Understanding cognitive control in aging: A brain network perspective |
title_full | Understanding cognitive control in aging: A brain network perspective |
title_fullStr | Understanding cognitive control in aging: A brain network perspective |
title_full_unstemmed | Understanding cognitive control in aging: A brain network perspective |
title_short | Understanding cognitive control in aging: A brain network perspective |
title_sort | understanding cognitive control in aging: a brain network perspective |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659905/ https://www.ncbi.nlm.nih.gov/pubmed/36389081 http://dx.doi.org/10.3389/fnagi.2022.1038756 |
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